Enterprise Architect (Enterprise Data Archtiect)
PNC, Phoenix, AZ, United States
Enterprise Architect
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Enterprise Architect within PNC's Enterprise Technology Architecture's organization, you will be based in Pittsburgh, PA or Strongsville, OH or Dallas, TX or Phoenix, AZ or Lakewood, CO.
An Enterprise Architect position that collaborates with key data and technology stakeholders to build out the enterprise data architecture practice. The objective is to execute PNC's data strategy by establishing data architecture models and standards that enable data observability, interchangeability, integrity, confidentiality, and availability. This staff-level role requires creative-thinking as well as hands-on expertise to guide teams to build out the semantic and object standards that are the foundation for data taxonomies, data models, data flows, lineage diagrams, and entity relationship models. This role operates within a TOGAF-oriented Enterprise Architecture practice that is accountable for producing and maintaining enterprise data architecture artifacts, supporting architecture governance, and guiding data related decisions from strategy through implementation.
Key deliverables, in partnership with the other stakeholders are:
Strategy: Create usable architecture artifacts that measure and demonstrate progress against a strategy. Measure progress against strategic data objectives and produce results analysis with follow-up. Articulate the business impact of complex data flows and data duplication decision making
Architecture: Identify and document data flows that form the basis for optimizing data lineage and retention. Produce data architecture analysis with supporting artifacts for technology recommendations. Develop architecture patterns that drive common data flows and standardized integration
Modeling: Design data entity and flow models that enable operational reporting, analytics, and modeling. Lead the development, standardization, and evolution of canonical and conceptual data models. Ensure data models comply with data architecture policies and standards with validation checks
Classification: Design ontologies and semantic models for driving the adoption of data mesh and virtualization. Drive alignment of data ontologies and data semantics that support regulatory requirements. Serve as the principal authority for metadata standards collaborating with Data Owners/Stewards
Collaboration: Work with enterprise and solution architects to implement data observability capabilities. Work closely with data architects and guide how data products are aligned to the data standards. Partner with architecture teams to align solution architectures with data architecture standards
Governance: Ensure adherence to best practices, data principles, and semantic data governance. Establish and govern enterprise standards for ontology modeling and naming conventions. Define auditability and traceability standards for financial and operational data with metrics
Some key desired skills:
Enterprise systems thinking & broad understanding of managing to a capability model
Experience working in financial services organizations with AI and Cloud technologies
Strong personal skills: Communication, Relationship Building, Collaboration, Influencing
Certifications in DCAM, CDMP, DMC, TOGAF, or SAFe are desirable but not required
Career Level C4 Individual Contributor
Qualifications:
TOGAF certification or equivalent enterprise architecture experience. Experience in large, complex enterprise environments. Familiarity with both operational and analytical data platforms
Preferred Skills:
Hands-on experience executing Data Architecture within a TOGAF or TOGAF-like EA framework. Strong understanding of baseline/target architecture, gap analysis, and transition planning. Experience working within formal architecture governance processes. Ability to translate business needs into data architecture outcomes. Strong written and verbal communication skills. Proven ability to influence decisions without direct authority
Competencies:
Conceptual, logical, and physical data modeling. Data lifecycle management and data integration patterns. Metadata, lineage, and data quality concepts. Data security, privacy, and classification principles. Master and reference data concepts
How This Role Is Measured:
Quality, clarity, and usability of data architecture deliverables. Alignment of solutions to approved data architecture. Effectiveness of collaboration with architecture and delivery teams. Ability to support business outcomes through data architecture decisions
PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Enterprise Architect within PNC's Enterprise Technology Architecture's organization, you will be based in Pittsburgh, PA or Strongsville, OH or Dallas, TX or Phoenix, AZ or Lakewood, CO.
An Enterprise Architect position that collaborates with key data and technology stakeholders to build out the enterprise data architecture practice. The objective is to execute PNC's data strategy by establishing data architecture models and standards that enable data observability, interchangeability, integrity, confidentiality, and availability. This staff-level role requires creative-thinking as well as hands-on expertise to guide teams to build out the semantic and object standards that are the foundation for data taxonomies, data models, data flows, lineage diagrams, and entity relationship models. This role operates within a TOGAF-oriented Enterprise Architecture practice that is accountable for producing and maintaining enterprise data architecture artifacts, supporting architecture governance, and guiding data related decisions from strategy through implementation.
Key deliverables, in partnership with the other stakeholders are:
Strategy: Create usable architecture artifacts that measure and demonstrate progress against a strategy. Measure progress against strategic data objectives and produce results analysis with follow-up. Articulate the business impact of complex data flows and data duplication decision making
Architecture: Identify and document data flows that form the basis for optimizing data lineage and retention. Produce data architecture analysis with supporting artifacts for technology recommendations. Develop architecture patterns that drive common data flows and standardized integration
Modeling: Design data entity and flow models that enable operational reporting, analytics, and modeling. Lead the development, standardization, and evolution of canonical and conceptual data models. Ensure data models comply with data architecture policies and standards with validation checks
Classification: Design ontologies and semantic models for driving the adoption of data mesh and virtualization. Drive alignment of data ontologies and data semantics that support regulatory requirements. Serve as the principal authority for metadata standards collaborating with Data Owners/Stewards
Collaboration: Work with enterprise and solution architects to implement data observability capabilities. Work closely with data architects and guide how data products are aligned to the data standards. Partner with architecture teams to align solution architectures with data architecture standards
Governance: Ensure adherence to best practices, data principles, and semantic data governance. Establish and govern enterprise standards for ontology modeling and naming conventions. Define auditability and traceability standards for financial and operational data with metrics
Some key desired skills:
Enterprise systems thinking & broad understanding of managing to a capability model
Experience working in financial services organizations with AI and Cloud technologies
Strong personal skills: Communication, Relationship Building, Collaboration, Influencing
Certifications in DCAM, CDMP, DMC, TOGAF, or SAFe are desirable but not required
Career Level C4 Individual Contributor
Qualifications:
TOGAF certification or equivalent enterprise architecture experience. Experience in large, complex enterprise environments. Familiarity with both operational and analytical data platforms
Preferred Skills:
Hands-on experience executing Data Architecture within a TOGAF or TOGAF-like EA framework. Strong understanding of baseline/target architecture, gap analysis, and transition planning. Experience working within formal architecture governance processes. Ability to translate business needs into data architecture outcomes. Strong written and verbal communication skills. Proven ability to influence decisions without direct authority
Competencies:
Conceptual, logical, and physical data modeling. Data lifecycle management and data integration patterns. Metadata, lineage, and data quality concepts. Data security, privacy, and classification principles. Master and reference data concepts
How This Role Is Measured:
Quality, clarity, and usability of data architecture deliverables. Alignment of solutions to approved data architecture. Effectiveness of collaboration with architecture and delivery teams. Ability to support business outcomes through data architecture decisions
PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.